A Hybrid INC and ANN-Based MPPT for PV System

There has been significant change in recent years toward promoting renewable energy sources. The worldwide market has hammered on developing energy alternatives that would not only improve quality but also provide a long-term supply of power. Here, solar photovoltaic energy may be seen as an extremely promising renewable energy source. The incremental conductance (INC) method, a prominent maximum power point tracking (MPPT) technique, is the subject of this research. This method has certain advantages, but it also has some problems. An improved incremental conductance (INC) model with hybridization of artificial neural network (ANN)-based maximum power point tracking (MPPT) has been presented to reduce the oscillation around the maximum power point (MPP) and to boost the reaction time. Simulation results are provided for the hybrid maximum power point tracking (MPPT) model based on incremental conductance (INC) and artificial neural networks (ANN), developed in MATLAB/Simulink.